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The Importance of Attributes in Predicting the Lifetime of Human and Automated Pull Requests

NIAID Data Ecosystem2026-05-02 收录

代码审查优化

拉取请求生命周期预测

数据链接：

https://zenodo.org/record/8199923 数据链接链接失效反馈

官方服务：

资源简介：

Pull requests extracted with GHTorrent from 101 open source repositorioes on GitHub.

应用场景：

创建时间：

2024-08-08

代码审查优化

开发者行为分析

Online material for our paper "On the Optimal Order of Reading Source Code Changes for Review", published at ICSME '17. It contains:- The code changes used during the interviews- The interview transcr

NIAID Data Ecosystem70

Online Material for "An Industrial Case Study on Shrinking Code Review Changesets through Remark Prediction"

代码审查优化

自动化规则分析

This dataset contains the source code, anonymized raw data and various other materials for the article "An Industrial Case Study on Shrinking Code Review Changesets through Remark Prediction" by Tobia

Figshare2020-06-21 更新50

Data for: What Factors Influence the Reviewer Assignment to Pull Requests?

代码审查优化

开发者协作

Dataset used in experiments and all extracted association rules.

NIAID Data Ecosystem20

Dataset of the paper "Information Needs in Contemporary Code Review"

代码审查优化

协作软件开发

Dataset of the paper "Information Needs in Contemporary Code Review", Proceedings of the ACM on Human-Computer Interaction 2, CSCW, Article 135 (November 2018). Read README.md for information on the

NIAID Data Ecosystem60

Information Needs in Contemporary Code Review - Appendix

代码审查优化

编程协作

Contemporary code review is a widespread practice used by software engineers to maintain high software quality and share project knowledge. However, conducting proper code review takes time and develo

NIAID Data Ecosystem40

The Importance of Attributes in Predicting the Lifetime of Human and Automated Pull Requests

资源简介：

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